最新SPLK-4001考題 - SPLK-4001證照考試

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Splunk SPLK-4001 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Introduction to Visualizing Metrics15%- Metrics Visualization
  • 1. Search and visualize metrics
    • 2. Apply rollups and analytics functions
      • 3. Dashboard groups
        • 4. Create charts and dashboards
          • 5. Visualization types
            Topic 2: Get Metrics In with OpenTelemetry10%- OpenTelemetry Collector Deployment
            • 1. Configure the OTel Collector
              • 2. Troubleshooting common errors
                • 3. General OpenTelemetry concepts
                  • 4. Deploy the OTel Collector on Linux
                    • 5. Edit configuration files
                      Topic 3: Alerting on Metrics with Detectors10%- Detectors and Alerting
                      • 1. Clone and manage detectors
                        • 2. Muting rules
                          • 3. Create detectors from charts
                            • 4. Standalone detectors
                              Topic 4: Finding Insights Using Analytics15%- Metrics Analytics
                              • 1. Ratios and percentage trends
                                • 2. Time-based comparisons
                                  • 3. Aggregation across sources
                                    • 4. Subset analysis of MTS signals
                                      • 5. Moving and calendar window analytics
                                        • 6. Combining plots in charts
                                          Topic 5: Create Efficient Dashboards and Alerts10%- Dashboard Optimization
                                          • 1. Troubleshooting charts and alerts
                                            • 2. Single-instance dashboards
                                              • 3. Alert customization
                                                • 4. Data links configuration
                                                  • 5. Dashboard instructions
                                                    • 6. Event overlays
                                                      Topic 6: Metrics Concepts15%- Core Metrics Data Model
                                                      • 1. Splunk IM data model, metrics, MTS, datapoints
                                                        • 2. Data resolution and rollups
                                                          • 3. Components of a datapoint
                                                            • 4. Types of metadata
                                                              Topic 7: Monitor Using Built-in Content10%- Observability Navigation & Monitoring
                                                              • 1. Kubernetes Navigator usage
                                                                • 2. Interact with built-in dashboards and content
                                                                  • 3. Cluster Analyzer troubleshooting
                                                                    • 4. Use alerts and detectors
                                                                      • 5. Interpret charts using rollups and analytics functions
                                                                        Topic 8: Detectors for Common Use Cases15%- Advanced Detector Scenarios
                                                                        • 1. Ephemeral infrastructure monitoring
                                                                          • 2. Population monitoring
                                                                            • 3. Large-scale monitoring
                                                                              • 4. Detect common issues
                                                                                • 5. Troubleshoot detectors
                                                                                  • 6. Non-flapping detectors
                                                                                    • 7. Cyclic pattern monitoring

                                                                                      >> 最新SPLK-4001考題 <<

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                                                                                      最新的 Splunk O11y Cloud Certified SPLK-4001 免費考試真題 (Q87-Q92):

                                                                                      問題 #87
                                                                                      A customer wants to create a chart that adds two metrics together to give a total. What is the best method to achieve this?

                                                                                      答案:B

                                                                                      解題說明:
                                                                                      A formula plot is the best way to combine existing metric plots mathematically. By creating another plot that adds the two metric signals together, the chart can display their combined total without changing the original metrics.


                                                                                      問題 #88
                                                                                      What does the "Resource Running Out" detector condition type help predict?

                                                                                      答案:B

                                                                                      解題說明:
                                                                                      The Resource Running Out condition uses trend analysis to predict when a resource, such as disk space, will be exhausted based on its current rate of consumption, enabling proactive alerts before an outage occurs.


                                                                                      問題 #89
                                                                                      When configuring a new receiver to send data to Splunk Observability Cloud, which sections must the new receiver be added to in the OpenTelemetry Collector configuration file? (Choose all that apply.)

                                                                                      答案:A,C,D

                                                                                      解題說明:
                                                                                      In the OpenTelemetry Collector configuration, a new receiver must be defined under receivers, referenced in a pipeline, and paired with an appropriate exporter to send data to Splunk Observability Cloud.


                                                                                      問題 #90
                                                                                      A customer wants to build a single dashboard chart that overlays metrics from multiple different services, each with a different unit of measurement. Which visualization approach is most appropriate?

                                                                                      答案:C

                                                                                      解題說明:
                                                                                      A dual-axis Chart allows two different value axes on the same chart, making it possible to meaningfully overlay signals with different units or scales without distorting either signal's visualization.


                                                                                      問題 #91
                                                                                      A customer wants to build a chart that shows the top 5 hosts by memory usage. Which analytic function should they apply?

                                                                                      答案:B

                                                                                      解題說明:
                                                                                      The Top analytic function ranks time series based on their values and returns the specified number of highest-ranking series, making it ideal for identifying the top N hosts by a given metric.


                                                                                      問題 #92
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